Latest AI and machine learning research in pain management for healthcare professionals.
BACKGROUND: Opioids are used for the treatment of pain. However, 30-50% of patients have insufficient effect to the opioid initially selected by the physician, and there is an urgent need for biomarkers to select responders to the most appropriate drug. Since opioids mediate their effect in the central nervous system, this study aimed to investigate if electroencephalography (EEG) during rest or p...
BACKGROUND: Transversus abdominis plane (TAP) block is widely used as a part of pain management after various abdominal surgeries. We evaluated the effect of TAP block as an add-on to the routine analgesic regimen in patients undergoing robot-assisted laparoscopic hysterectomy.
BACKGROUND: Given their ability to process highly dimensional datasets with hundreds of variables, machine learning algorithms may offer one solution ...
The present study evaluated the diagnostic accuracy of immune system algorithms with the aim of classifying the primary types of headache that are not...
The quantification of non-linear characteristics of electromyography (EMG) must contain information allowing to discriminate neuromuscular strategies ...
The paper presents a methodology for the analysis of functional changes in brain activity across different conditions and different groups of subjects...
OBJECTIVE: The primary objective was to assess the warming sensation caused by IFF Flavour 316282 in a syrup used for short-term treatment by patients...
In Electronic Health Records (EHRs), much of valuable information regarding patients' conditions is embedded in free text format. Natural language pro...
UNLABELLED: Recent studies have posited that machine learning (ML) techniques accurately classify individuals with and without pain solely based on ne...
OBJECTIVE: To investigate the effects of general anaesthesia and general+epidural anaesthesia on the stress response which was evaluated with the adre...
OBJECTIVE: We aimed to compare lateral and midline epidural anaesthesia using a levobupivacaine-fentanyl combination in patients undergoing unilateral...
OBJECTIVE: This study was designed to compare the effects of dexketoprofen, lornoxicam, and diclophenac sodium on postoperative analgesia and tramadol...
OBJECTIVE: Although robotic surgery decreases pain compared to laparotomy, postoperative pain can be a concern near the site of a larger assistant tro...
Recent reports of multivariate machine learning (ML) techniques have highlighted their potential use to detect prognostic and diagnostic markers of pa...
BACKGROUND: Modeling drug interactions is important for illustrating combined drug actions and for predicting the pharmacological and/or toxicological...
BACKGROUND: Mathematical modeling approaches are becoming ever more established in clinical neuroscience. They provide insight that is key to understa...
Intraoperative injury of the obturator nerve may occur in gynecologic oncologic procedures when extensive pelvic side wall dissection is performed. In...
Ocular complications reported after robotic-assisted laparoscopic radical prostatectomy (RALP) include corneal abrasion and ischemic optic neuropathy....
Artificial neural networks (ANNs) effectively analyze non-linear data sets. The aimed was A review of the relevant published articles that focused on ...
Summarize functional outcomes after transoral robotic surgery (TORS) ± adjuvant therapy for oropharyngeal cancer (OPC). A systematic review was conduc...